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Avian musing feature space analysis
(Georgia Institute of Technology, 2012-05-24)
The purpose of this study was to analyze the possibility of utilizing known
signal processing and machine learning algorithms to correlate environmental
data to chicken vocalizations. The specific musing to be analyzed ...
Statistical methods for feature extraction in shape analysis and bioinformatics
(Georgia Institute of Technology, 2010-04-05)
The presented research explores two different problems of statistical data analysis.
In the first part of this thesis, a method for 3D shape representation, compression and smoothing is presented. First, a technique for ...
Jitter measurement of high-speed digital signals using low-cost signal acquisition hardware and associated algorithms
(Georgia Institute of Technology, 2010-07-06)
This dissertation proposes new methods for measuring jitter of high-speed digital signals. The proposed techniques are twofold. First, a low-speed jitter measurement environment is realized by using a jitter expansion ...
Accuracy-energy tradeoffs in digital image processing using embedded computing platforms
(Georgia Institute of Technology, 2011-11-14)
As more and more multimedia applications are integrated in mobile devices, a significant amount of energy is devoted to digital signal processing (DSP). Thus, reducing energy consumption for DSP systems has become an ...
Audio-video based handwritten mathematical content recognition
(Georgia Institute of Technology, 2012-11-12)
Recognizing handwritten mathematical content is a challenging problem, and more so when such content appears in classroom videos. However, given the fact that in such videos the handwritten text and the accompanying audio ...
Non-uniform sampling: algorithms and architectures
(Georgia Institute of Technology, 2012-11-09)
Modern signal processing applications emerging in telecommunication and instrumentation industries have placed an increasing demand for ADCs with higher speed and resolution. The most fundamental challenge in such a progress ...
Parametric estimation of randomly compressed functions
(Georgia Institute of Technology, 2013-05-28)
Within the last decade, a new type of signal acquisition has emerged called Compressive Sensing that has proven especially useful in providing a recoverable representation of sparse signals. This thesis presents similar ...
Efficient audio signal processing for embedded systems
(Georgia Institute of Technology, 2012-05-21)
We investigated two design strategies that would allow us to efficiently process audio signals on embedded systems such as mobile phones and portable electronics. In the first strategy, we exploit properties of the human ...
Mathematical analysis of a dynamical system for sparse recovery
(Georgia Institute of Technology, 2014-04-04)
This thesis presents the mathematical analysis of a continuous-times system for sparse signal recovery. Sparse recovery arises in Compressed Sensing (CS), where signals of large dimension must be recovered from a small ...